Boosting face identification in airports

Liu Jiang Jimmy; Kia Fock Loe

Boosting face identification in airports

Research output: Journal Publication › Conference article › peer-review

Abstract

Robust face identification system in complex airport environment, which can identify certain candidates from a crowd of people in real time, is in urgent demand. S-AdaBoost is discussed in this paper as a variant of AdaBoost to handle real world environment. The Face Identification System for Airports (F1SA), based upon S-AdaBoost algorithm, is implemented in an international airport. Comparison of results obtained from FISA with those from other leading face identification approaches based on FISA database clearly demonstrates the effectiveness of FISA in real airport environment.

Original language	English
Pages (from-to)	1503-1504
Number of pages	2
Journal	IJCAI International Joint Conference on Artificial Intelligence
Publication status	Published - 2003
Externally published	Yes
Event	18th International Joint Conference on Artificial Intelligence, IJCAI 2003 - Acapulco, Mexico Duration: 9 Aug 2003 → 15 Aug 2003

ASJC Scopus subject areas

Artificial Intelligence

Cite this

@article{3cc2ff1066a64c60a844e56dd13b28fd,

title = "Boosting face identification in airports",

abstract = "Robust face identification system in complex airport environment, which can identify certain candidates from a crowd of people in real time, is in urgent demand. S-AdaBoost is discussed in this paper as a variant of AdaBoost to handle real world environment. The Face Identification System for Airports (F1SA), based upon S-AdaBoost algorithm, is implemented in an international airport. Comparison of results obtained from FISA with those from other leading face identification approaches based on FISA database clearly demonstrates the effectiveness of FISA in real airport environment.",

author = "Jimmy, {Liu Jiang} and Loe, {Kia Fock}",

year = "2003",

language = "English",

pages = "1503--1504",

journal = "IJCAI International Joint Conference on Artificial Intelligence",

issn = "1045-0823",

}

TY - JOUR

T1 - Boosting face identification in airports

AU - Jimmy, Liu Jiang

AU - Loe, Kia Fock

PY - 2003

Y1 - 2003

N2 - Robust face identification system in complex airport environment, which can identify certain candidates from a crowd of people in real time, is in urgent demand. S-AdaBoost is discussed in this paper as a variant of AdaBoost to handle real world environment. The Face Identification System for Airports (F1SA), based upon S-AdaBoost algorithm, is implemented in an international airport. Comparison of results obtained from FISA with those from other leading face identification approaches based on FISA database clearly demonstrates the effectiveness of FISA in real airport environment.

AB - Robust face identification system in complex airport environment, which can identify certain candidates from a crowd of people in real time, is in urgent demand. S-AdaBoost is discussed in this paper as a variant of AdaBoost to handle real world environment. The Face Identification System for Airports (F1SA), based upon S-AdaBoost algorithm, is implemented in an international airport. Comparison of results obtained from FISA with those from other leading face identification approaches based on FISA database clearly demonstrates the effectiveness of FISA in real airport environment.

UR - http://www.scopus.com/inward/record.url?scp=84880828272&partnerID=8YFLogxK

M3 - Conference article

AN - SCOPUS:84880828272

SN - 1045-0823

SP - 1503

EP - 1504

JO - IJCAI International Joint Conference on Artificial Intelligence

JF - IJCAI International Joint Conference on Artificial Intelligence

T2 - 18th International Joint Conference on Artificial Intelligence, IJCAI 2003

Y2 - 9 August 2003 through 15 August 2003

ER -

Boosting face identification in airports

Abstract

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this